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gibbon lab posted on Friday, December 10, 2010  12:13 pm



Every time I run a SEM, there is a loglikelihood for H0 and H1. For example, Loglikelihood H0 Value 13701.249 H1 Value 13697.746 What exactly are the null hypothesis and alternative? 


The H0 model is the model specified in the MODEL command. The H1 model is the unrestricted means, variances, and covariances of the observed variables. 

gibbon lab posted on Friday, December 10, 2010  1:07 pm



Usually we do not want to reject the specified model. Does that means we are looking for nonsignificant p values for the ChiSquare Test of Model Fit? 


Yes. 

almoskowitz posted on Monday, March 07, 2016  10:54 pm



Hello! I've requested for MPlus to save the individual loglikelihoods using the SAVEDATA; SAVE=LOGLIKELIHOOD; function and it seems to be outputting the log likelihoods commensurate with H1 rather than the fitted model H0. Is there any way to get the log likelihoods from the fitted model instead? Thank you! 


Can you send whatever makes you think they are from the H1 model to support@statmodel.com. 


Hi Mplus gurus, Apologies if this is a naive question, but why does the unrestricted (H1) model LL change when there are exogenous covariates in the model compared to a model without covariates? My understanding is that the H1 represents the variancecovariance matrix of the endogenous variables. Does this change because the endogenous variables are conditioned on the covariates and thus the unrestricted model is the covariance of the residual variance? Thanks much, Michael 


The answer is yes. You can also state H1 as Y = a+bX +e Var(e)=Sigma where a, b and Sigma are unrestricted. 

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